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ORBEET: Organizational Behaviour improvement for Energy Efficient administrative public offices

Tertiary sector buildings consume a sizeable proportion of EU total energy consumption and the majority of consumption is directly attributed to the operational phase of the building life-cycle. Occupant behaviour is a major cause of this consumption. OrbEEt proposes an ICT-based framework to induce behaviour change toward energy efficiency by transforming energy measurements into personalized feedback delivered through engaging user interfaces. To achieve this challenge, OrbEEt foresees dynamic, spatially fine-grained extensions of building-level Operational Rating methodologies and Display Energy Certificates to provide a detailed view of energy use in office spaces, business processes and organizational entities rather than entire buildings. The fusion of information from Building Information Models, Business Process Models and real-time energy use measurement via a comprehensive ICT cloud service - the Systemic Enterprise Operational Rating framework - will enable energy use tracking and will establish direct accountability of people, processes and spaces toward overall consumption.

NOBEL GRID Project: Smart energy for people

The project NOBEL GRID, funded by the European Union’s Horizon 2020 research and innovation programme, will provide advanced tools and ICT services to all actors in the Smart Grid and retail electricity market in order to ensure benefits from cheaper prices, more secure and stable grids and clean electricity. These tool and services will enable active consumers’ involvement, new business models for new actors and the integration of distributed renewable energy production.

Keywords / tags: Smart grid, retail electricity markets, Information Communication Technology (ICT), flexible renewable energy integration, consumers prosumers, smart meters, Distribution System Operators.

BESOS: Building Energy Decision Support Systems for Smart cities

The strategic goal of BESOS is to enhance existing neighbourhoods with decision support system to provide coordinated management of public infrastructures in Smart Cities, and at the same time provide citizens with information to promote sustainability and energy efficiency.

The Estfeed Project: Innovative data sharing ICT infrastructure for energy market participants

Estfeed project built a software platform capable to integrate many data sources and to provide appropriate services to convert these data into valuable information for energy flexibility management, energy efficiency, audit and benchmarking.

I3RES: ICT-based intelligent management of integrated RES for the smart grid optimal operation

The I3RES project was financed by the European Commission under the Seventh Framework Programme and more specifically the call ICT-2011.6.1 on Smart Energy Grids. As a result, the I3RES Management Tool was developed.

State of the art in Distribution Network Operations

The distribution network has traditionally been a passive network, which means to pass power from bulk-supply points to consumers. Yet, due to the increase of distributed generation sources and the injection of new loads (integration of Evs for instance), distribution networks are evolving towards active networks. Future distribution networks, embedded between transmission networks and end-consumers, will become increasingly equipped and will take advantage of new techniques of monitoring, control, data analysis, communication infrastructure, planning and small-scale generation in order to support distribution network operation in an efficient way.

The KIC-ASS project: Development of an active distribution substation that facilitates the integration of renewable energies into the grid

The goal of the KIC-ASS project (Knowledge and Innovation Community – Active Sub Stations) is to bring research institutes and industry together to develop key cost efficient components for future smart secondary substations, thus contributing to improved distribution network operation through better distribution network monitoring technologies .

The LINEAR project: Demand Response on a large scale

To realize an implementation breakthrough for automated residential demand response by means of a pilot and to evaluate the technology, economical value and user acceptance.

DG DemoNet Smart LV Grid - Control concepts for active low voltage network operation with a high share of distributed energy resources

The main objective of the project is to find an efficient way for integrating distributed generation from renewable energy (PV) and electro mobility with regard to optimized investment of the existing asset base in low voltage grids. The focus is to increase the hosting capacity for distributed energy resources (DER) and e-mobility of low voltage distribution networks.

DG DemoNet MV (Project Chain DG DemoNet) - Active operation of medium voltage distribution networks with a high share of distributed generation

In rural medium voltage distribution network structures, typical of Austria, the increase of voltage through the feeding-in of distributed electricity generation plants has turned out to be the most significant system limitation when integrating generation units. This is of paramount importance in distribution network operations since network operators are responsible for keeping the voltage within defined limits (EN 50160) without having direct access to energy production units (due to the legal unbundling of electricity generation, trading and distribution).

ADVANCED project

The ADVANCED project (Active Demand Value ANd Consumers Experiences Discovery) is a research project co-funded by the European Community’s Seventh Framework Programme (FP7/2007-2013). It aims at developing actionable frameworks enabling residential, commercial and industrial consumers to participate in AD (active demand) thus contributing to AD mass deployment in Europe.

The ADDRESS project: Active Distribution network with full integration of Demand and distributed energy RESourceS

ADDRESS was a Research, Development and Demonstration project (2008-2013) coordinated by ENEL Distribuzione.

Smart Grids Model Region Salzburg (SGMS)

Salzburg is one of the pioneers in Europe in developing smart energy networks. This is why it was chosen by the Austrian Climate and Energy Fund to be the first Smart Grids Model Region in Austria. Smart Grids Model Region Salzburg is supported by an interdisciplinary team from the energy sector (Salzburg AG, Salzburg Netz GmbH), a property developer (Salzburg Wohnbau), a technology vendor (Siemens), consulting services (Fichtner) and renowned research institutions (Austrian Institute of Technology, Vienna University of Technology, CURE). The goal is to create a holistic smart grid system called Smart Infrastructure Salzburg.

SGMS- The integration of renewables in distribution networks

Integrating renewable energy sources into the distribution network (SGMS project) requires intelligent network control solutions that involve producers and consumers to use the existing infrastructure more efficiently and to increase the hosting capacity of the network to handle energy flow from decentralized renewable sources. For this purpose, an internationally premiered prototype was developed for medium voltage networks, out of which a product that is suitable for general use can be created. The prototype has shown that an increase in generating capacity in the critical section of the network in the Demo Region by approximately 20 % is realistic. A functional solution for voltage control in low voltage networks was also developed and implemented in the Model Community of Köstendorf. Due to the numerous stakeholders and applications that must be taken into consideration at this level, it is extremely important to develop rules for how they will interact.

SGMS - The integration of residential customers

In a field test, various energy feedback methods produced average electricity savings of 6.7 %, which because of the level of variance is of uncertain statistical significance and cannot be directly attributed to a particular feedback method. On the whole, feedback on electricity consumption is a valuable source of information for residential customers despite them losing interest. Generating an added value by integrating other services would offer a potential improvement. The same can be said for recommendations for shifting time of consumption in order to decrease electricity costs (a further value added feature). A decentralized solution for real-time feedback is recommended due to its lower costs. Data would be transferred from the smart meter to a gateway or a local computer and then visualized.

SGMS - The integration of buildings

In contrast to a conscious change in behavior among residential customers, systems that condition buildings can be automated and therefore manage loads without being noticed by the user. This approach particularly uses thermal inertia combined with thermoelectric coupling in buildings, and takes into account existing technologies but also examines and develops new solutions. The former comprises systems that can be managed using ripple controls. Its load shifting potential has been shown to be approximately 10% of peak load in a select test area with a high penetration of electric space heaters. Due to its limited applicability and its neglect of processes within buildings, it can be seen as a transitional technology.

The second, more forward-looking approach is based on expanding building automation systems, for example, by incorporating the current condition of the network into the optimization process. A newly developed Building Energy Agent bundles all the shiftable loads in the building, in particular those of heating and cooling units, and communicates with the electricity system. If buildings are well insulated, electricity use from the heating system can be shifted by up to twelve hours without resulting in a loss of comfort.

SGMS - Load management in commercial & industrial enterprises

In a single industrial production company, more than four megawatts in capacity could be shifted with comparably little effort. A storage system is required in the production process in order to be able to continue production despite the shutdown of machines. Currently, commercial customers create a financial advantage primarily by optimizing the purchase of electricity on the market.

The ADVANCED conceptual model and target matrix

The investigations in ADVANCED rely on the definition of a conceptual model of active consumer participation in which all relevant factors influencing the participation of consumers in Active Demand (AD) programs are included and their relationships described.

The ADVANCED KPIs

Active Demand (AD) and the associated demand response benefits can help meet EU’s energy policy goals (affordable, sustainable and secure energy). In order to make these programmes measurable Key Performance Indicators (KPIs) were identified within the ADVANCED project.

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Type of Article
Cluster
Functional objective
System function
Subsystem function
Component function
(1) active control of DER (2) active distribution substation (3) Advanced Meter Management (AMM) (7) aggregator (1) algorithms to optimize system topology (1) ancillary services (4) Automatic Meter Reading (AMR) (5) balancing (2) balancing responsible party (1) Bi-directional communication systems (1) CAPEX (1) Commercial barriers to smart grids (2) Common Information Model (CIM) (4) communication protocol (2) congestion in MV networks (8) consumer acceptance (1) Consumption data exchange (1) Consumption data standardisation (1) Consumption data storage (1) continuity of supply (9) controllable appliances (1) Controllable load (1) cyber security (4) data privacy concerns (1) data protection tools (1) demand forecast (4) Demand response services (1) Demand response signal (1) distribution grid stability (1) Distribution Management System (DMS) (1) Distribution system status information (1) electric storage (1) Electricity tariff for smart districts (6) energy boxes (4) energy management system (EMS) (3) energy savings (1) Fault Passage Indicator (FPI) (4) grid automation (1) grid stability (3) in-home EMS (4) interoperability between standard protocols (2) islanded mode of operation (1) ITC components (1) large data mining process (6) large-scale demonstration (1) load aggregation (3) Load shaping (1) long-term planning (7) LV network monitoring and control (1) Meter Data Management System (MDMS) (1) MV network monitoring and control (1) network congestion (1) on-line local sensor (1) OPEX (1) Optimal Power Flow (OPF) (1) optimization of maintenance (1) outage management at distribution level (1) participation of DER into power markets (2) public awareness (1) reduce maintenance cost (1) Regulatory barriers to smart grids (1) reinforcement options (3) Remote Terminal Units (RTU) (1) replicability (1) RES forecast (2) retailers (2) reversion of unidirectional flows (1) scalability (9) smart meter (1) smart substation (2) social welfare (2) standardization of practices (2) state estimation (1) Storage (4) Supervisory Control And Data Acquisition (SCADA) (2) thermal storage (2) voltage control in MV networks (1) wind power fluctuations
Sub component function
Maturity
Smart Grid Generic use case
Smart Grid Generic High Level Use Case

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